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Spatial autocorrelation analysis was performed using Local Indicators of Spatial Association (LISA) statistics, particularly Moran's I index, for the detection of spatial clusters.
i∈I index interval, where I = {1,2,…,m}.
Of this, 24 are used for the company's annual D&I Index which highlights the most diverse and inclusive workplaces.
Heterogeneity was estimated using the I index.
Heterogeneity was tested using the Q statistic and I index.
Statistical heterogeneity was determined using the I index.
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An E-I index of −1.0 would indicate that only internal relationships exist, while all relationships would be external for an E-I index of +1.0.
Note that there is no optimum value of the E-I index.
E-I index (Table 3) shows that many information-sharing activities took place outside the economic groups.
However, the E-I index score of neighborhoods in case of observation is lower than hearing and discussion activities.
Resulting distributions informed then on the range of possible E-I index observed for each given group.
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